This is a brief video of M.C. Escher’s ‘Impossible Cube’ modeled and 3-D printed in real life by Pierpaolo Andraghetti. It only looks perfect from this one angle. For any other angle the trick of perspective becomes apparent.
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 Quantized Neural Networks for FPGA InferenceSponsored by Intel Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application. |
